scholarly journals Driving Protein Conformational Cycles in Physiology and Disease: “Frustrated” Amino Acid Interaction Networks Define Dynamic Energy Landscapes

BioEssays ◽  
2020 ◽  
Vol 42 (9) ◽  
pp. 2000092
Author(s):  
Rebecca N. D'Amico ◽  
Alec M. Murray ◽  
David D. Boehr
2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Omar Gaci

We represent proteins by amino acid interaction networks. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. Once we have compared this type of graphs to the general model of scale-free networks, we analyze the existence of nodes which highly interact, the hubs. We describe these nodes taking into account their position in the primary structure to study their apparition frequency in the folded proteins. Finally, we observe that their interaction level is a consequence of the general rules which govern the folding process.


Author(s):  
Kathleen F. O'Rourke ◽  
Jennifer M. Axe ◽  
Rebecca N. D'Amico ◽  
Debashish Sahu ◽  
David D. Boehr

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